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Building computer vision application...

Ansari, Shamshad.

Building computer vision applications using artificial neural networkswith step-by-step Examples in OpenCV and TensorFlow with Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Building computer vision applications using artificial neural networksby Shamshad Ansari.
Reminder of title:	with step-by-step Examples in OpenCV and TensorFlow with Python /
Author:	Ansari, Shamshad.
Published:	Berkeley, CA :Apress :2020.
Description:	xxii, 451 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Computer vision.
Online resource:	https://doi.org/10.1007/978-1-4842-5887-3
ISBN:	9781484258873$q(electronic bk.)

Building computer vision applications using artificial neural networkswith step-by-step Examples in OpenCV and TensorFlow with Python /
Ansari, Shamshad.

Building computer vision applications using artificial neural networkswith step-by-step Examples in OpenCV and TensorFlow with Python /[electronic resource] :by Shamshad Ansari. - Berkeley, CA :Apress :2020. - xxii, 451 p. :ill., digital ;24 cm.

1. Chapter 1: Prerequisite and Software Installation -- Chapter 2: Core Concepts of Image and Video Processing -- Chapter 3: Techniques of Image Processing -- Chapter 4: Building Artificial Intelligence System for Computer Vision -- Chapter 5: Artificial Neural Network for Computer Vision -- Chapter 6: Practical Example 1- Object Detection in Images -- Chapter 7: Practical Example 2- Object Tracking in Videos -- Chapter 8: Practical Example 3- Facial Detection -- Chapter 9: Industrial Application - Realtime Defect Detection in Industrial Manufacturing -- Chapter 10: Training Machine Learning Model on the Cloud.

ISBN: 9781484258873$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-5887-3doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634 / .A573 2020

Dewey Class. No.: 006.37

Building computer vision applications using artificial neural networkswith step-by-step Examples in OpenCV and TensorFlow with Python /
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